The assessment of model fitness is a problem in multivariate statistical
inference [1]}. While it is impossible to establish if the joint distributions of the
descriptive statistics for model and experiment are the same, three different
methods can be used to look for evidence that the distributions are different.
All methods work best when the number of observations is large and the
number of statistics is small. If there are many statistics and few observations,
then no method will produce trustworthy results.
